Statistics / Football / Netherlands. Eerste Divisie / Jong Utrecht vs Jong Ajax

Jong Utrecht vs Jong Ajax Statistics & Analysis

Sep 14, 2026 - 18:00
6 1.50
1 1.73
xG Accuracy: 24%
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Tracked markets vs full-time result

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (7 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Jong Ajax Jong Utrecht ✖ Incorrect
  • Correct Score Insights 1-1, 1-2, 2-1, 0-1, 2-2 6-1 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 08, 2026 · 02:39 UTC Snapshot ID: dp-7573265

Closing Odds 2.25
AI Fair Odds —
CLV +0.0%
Final Result Jong Utrecht win · Jong Utrecht 6–1 Jong Ajax
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Jong Ajax (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Jong Ajax (1X2) by about 7.3 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Jong Utrecht (1X2) 32.2 42.3 -10.1
Draw (1X2) 25.8 23.1 +2.8
Jong Ajax (1X2) 42.0 34.6 +7.3
Over 2.5 goals 62.6 67.7 -5.1
Under 2.5 goals 37.4 32.3 +5.1
What this means

In plain terms: the model lands near 42.0% on Jong Ajax (1X2), while the closing snapshot implied about 34.6%. The difference — about 7.3 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
Jong Utrecht (1X2) 2.25 2.25 0.0
Draw (1X2) 4.13 4.13 0.0
Jong Ajax (1X2) 2.75 2.75 0.0
Over 2.5 goals 1.4 1.4 0.0
Under 2.5 goals 2.94 2.94 0.0

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Eerste Divisie
  • Fixture: Jong Utrecht vs Jong Ajax
  • Kickoff: 2026-09-14 18:00:00
  • 1X2 (model): Home 32.2% · Draw 25.8% · Away 42.0%
  • xG (showing): Jong Utrecht 1.5 — Jong Ajax 1.73 (total xG ≈ 3.23)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 37.4% · Implied: 30.1% · Probability edge: +7.3 pts · Est. EV: +23.1%
  • BTTS (model): Yes 65.2% · No 34.8%
  • Correct score (top bin): 1-1 (10.3%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

Early match state can move realised goals away from pre-kick projections.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Missed — Pre-match 1X2 lean did not match the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

September 28, 2026 (UTC)

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Back to Statistics
Eerste Divisie Eerste Divisie — Standings
# TEAM MP W D L PTS
1 Heracles 8 7 0 1 21
2 Almere City FC 8 5 1 2 16
3 MVV 8 5 1 2 16
4 VVV Venlo 8 5 0 3 15
5 Roda 8 4 3 1 15
6 Emmen 8 5 0 3 15
7 Waalwijk 8 3 4 1 13
8 Vitesse 8 4 1 3 13
9 NAC Breda 8 4 1 3 13
10 Jong AZ 9 4 1 4 13
11 FC Volendam 8 4 0 4 12
12 Jong PSV 9 3 3 3 12
13 FC Eindhoven 8 3 1 4 10
14 Helmond Sport 8 2 2 4 8
15 Jong Ajax 9 2 2 5 8
16 Den Bosch 7 2 1 4 7
17 Dordrecht 8 2 1 5 7
18 Jong Utrecht 9 2 1 6 7
19 FC OSS 8 2 0 6 6
20 De Graafschap 7 1 1 5 4
# TEAM MP GS GC +/- PTS
1 Heracles 8 26 10 +16 21
2 Jong AZ 9 22 17 +5 13
3 VVV Venlo 8 21 14 +7 15
4 FC Volendam 8 20 16 +4 12
5 Almere City FC 8 18 7 +11 16
6 Waalwijk 8 18 11 +7 13
7 Emmen 8 18 17 +1 15
8 NAC Breda 8 17 17 0 13
9 Jong Utrecht 9 15 21 -6 7
10 Jong PSV 9 14 16 -2 12
11 Vitesse 8 13 11 +2 13
12 Helmond Sport 8 13 14 -1 8
13 FC Eindhoven 8 13 17 -4 10
14 Jong Ajax 9 13 22 -9 8
15 MVV 8 12 15 -3 16
16 Den Bosch 7 12 16 -4 7
17 Dordrecht 8 12 23 -11 7
18 Roda 8 9 5 +4 15
19 FC OSS 8 8 13 -5 6
20 De Graafschap 7 8 20 -12 4
# TEAM MP xG xGC +/- PTS
1 FC Volendam 8 9.6 5.1 +4.5 12
2 Heracles 8 10.1 6.0 +4.1 21
3 Emmen 8 9.2 6.2 +3.0 15
4 NAC Breda 8 9.8 6.9 +2.9 13
5 MVV 8 6.7 3.8 +2.9 16
6 Jong PSV 9 8.5 5.7 +2.8 12
7 Den Bosch 7 9.6 7.0 +2.6 7
8 Vitesse 8 8.0 6.8 +1.2 13
9 Jong AZ 9 6.9 5.7 +1.2 13
10 Almere City FC 8 7.2 6.1 +1.1 16
11 Roda 8 8.1 7.2 +0.9 15
12 Waalwijk 8 4.8 4.6 +0.2 13
13 FC OSS 8 5.3 7.3 -2.0 6
14 De Graafschap 7 5.4 7.6 -2.2 4
15 Jong Ajax 9 8.4 10.8 -2.4 8
16 VVV Venlo 8 5.7 8.9 -3.2 15
17 Helmond Sport 8 2.6 6.2 -3.6 8
18 Jong Utrecht 9 5.4 9.6 -4.2 7
19 FC Eindhoven 8 3.9 8.2 -4.3 10
20 Dordrecht 8 5.0 10.7 -5.7 7